Effective Intrusion Detection Through Anomaly Analysis
DOI:
https://doi.org/10.71086/Keywords:
Intrusion Detection Systems, Deep Learning, attacks, classification,Abstract
Modern Internetworked systems put greater emphasis on Network Security. The growth of the internet and our
growing dependence on it have raised the demand for network security technologies. Networking and Interoperability
have grown better on public networks, which has caused a significant rise in the number and severity of security
threats. To safeguard the frameworks, several Intrusion Prevention techniques have been developed. Authorization,
user authentication, fixing coding and design errors, firewalls, and data protection are a few of the methods. These
techniques are used to safeguard computer networks. Therefore, intrusion prevention alone would not be enough due
to the system's increasing complexity. Security flaws in system design are common. Numerous variables, including
flawed system configuration, inappropriate system behaviour, and errors in programming and design, contribute to
these problems. Ineffective efforts are made by security regulations to meet system control and information access An
Intrusion Detection System is widely used in systems to protect them IDS is to find organizations that are trying to
bypass already-in-place security protections. These intrusions involve threats of imminent infractions of computer
security regulations, standards, or established security processes.


